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Spatial Circular Granulation Method Based on Multimodal Finger Feature
Joint Authors
Yang, Jinfeng
Zhong, Zhen
Jia, Guimin
Li, Yanan
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-13
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Finger-based personal identification has become an active research topic in recent years because of its high user acceptance and convenience.
How to reliably and effectively fuse the multimodal finger features together, however, has still been a challenging problem in practice.
In this paper, viewing the finger trait as the combination of a fingerprint, finger vein, and finger-knuckle-print, a new multimodal finger feature recognition scheme is proposed based on granular computing.
First, the ridge texture features of FP, FV, and FKP are extracted using Gabor Ordinal Measures (GOM).
Second, combining the three-modal GOM feature maps in a color-based manner, we then constitute the original feature object set of a finger.
To represent finger features effectively, they are granulated at three levels of feature granules (FGs) in a bottom-up manner based on spatial circular granulation.
In order to test the performance of the multilevel FGs, a top-down matching method is proposed.
Experimental results show that the proposed method achieves higher accuracy recognition rate in finger feature recognition.
American Psychological Association (APA)
Yang, Jinfeng& Zhong, Zhen& Jia, Guimin& Li, Yanan. 2016. Spatial Circular Granulation Method Based on Multimodal Finger Feature. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1108479
Modern Language Association (MLA)
Yang, Jinfeng…[et al.]. Spatial Circular Granulation Method Based on Multimodal Finger Feature. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1108479
American Medical Association (AMA)
Yang, Jinfeng& Zhong, Zhen& Jia, Guimin& Li, Yanan. Spatial Circular Granulation Method Based on Multimodal Finger Feature. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1108479
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108479